ListDB RepOne: 3 months (Jun'22-Aug'22) of drone videos and trajectories at a 3-way intersection
Contributing person | Bäumler, Maximilian (orcid: 0000-0003-4052-0572) | |
datacite.description.TableOfContents | - Sample video data - Sample trajectory data - Video data - Trajectory data - ListDBApp to collect metadata - ListDB codebook to specify the metadata | |
Documentation of the data | Resource Type: Video: Videos containing traffic observation (.mp4) Dataset: Minded trajectories (.csv; .tlgx) Software: ListDBApp to collect metadata (.apk) Text: Text files containing metadata (.txt; .csv) Text: Codebook specifying the metadata (.pdf) Methods: The videos were collected using consumer drones. The metadata was collected using the ListDBApp (see .apk). The source trajectory data was extracted from video using DataFromSky TrafficSurvey (https://ai.datafromsky.com/aerial) - an AI video analytics-based service for gathering advanced traffic data for researchers and traffic engineers. | |
Additional geographical or spatial references | Dresden | |
Additional geographical or spatial references | Saxony | |
Additional geographical or spatial references | 51.036753, 13.705006 | |
Countries to which the data refer | GERMANY | |
References to related material | https://index.mirasmart.com/27esv/PDFfiles/27ESV-000122.pdf | |
References to related material | https://w3id.org/listdb/onto | |
Description of the data | Representative datasets of video-based traffic observations according to the ListDB specification (w3id.org/listdb/). We collected the videos mainly at different intersections in Germany following a fixed sampling plan to ensure representativity. We describe the sampling plan and the collection procedure in the following paper: Maximilian Bäumler, Matthias Lehmann, Günther Prokop (2023). "Generating representative test scenarios: The "Fuse for Representativity" (FUSE4Rep) process model to collect and analyse traffic observation data". In: 27th ESV Conference. Yokohama. Paper NO.23-0122-O The paper is available here: https://index.mirasmart.com/27esv/PDFfiles/27ESV-000122.pdf | |
Type of the data | Software | |
Type of the data | Text | |
Type of the data | Dataset | |
Type of the data | Audiovisual | |
Total size of the dataset | 469073593849 | |
Author | Bäumler, Maximilian | |
Author | Lehmann, Matthias | |
Upload date | 2023-06-21T14:32:49Z | |
Publication date | 2023-06-21T14:32:49Z | |
Publication date | 2026-06-10T15:42:13Z | |
Data of data creation | 2022-2023 | |
Publication date | 2023-06-21 | |
Abstract of the dataset | The dataset can be used to investigate road traffic and derive test scenarios for scenario-based testing, for example. The dataset includes three months of drone videos and their corresponding trajectories recorded in Dresden, Germany, at a 3-way intersection. The data collection followed a fixed sampling plan covering four different time slots daily (weekdays: 07.30-09.00 / 10.00-11.30 / 13.00-14.30 / 15.30-17.00) within June and August 2022. Moreover, extensive metadata is provided following the ListDB specification (w3id.org/listdb). Source trajectory data was extracted from video using DataFromSky TrafficSurvey (https://ai.datafromsky.com/aerial) - an AI video analytics-based service for gathering advanced traffic data for researchers and traffic engineers. Main facts: 790 minutes of video (June: 281 minutes / July: 259 minutes / August: 250 minutes). The analysed trajectories are available for each video. We sincerely thank DataFromSky for supporting the analysis. The video-based traffic observation was conducted within the MOTUS project (19FS2015A; motus-project.com) and supported by the mFUND grant by Germany’s Federal Ministry for Digital and Transport. | |
Public reference to this page | https://opara.zih.tu-dresden.de/handle/123456789/2601 | |
Public reference to this page | https://doi.org/10.25532/OPARA-229 | |
dc.language | eng | |
Publisher | Technische Universität Dresden | |
Licence | Attribution-NonCommercial 4.0 International | |
URI of the licence text | http://creativecommons.org/licenses/by-nc/4.0/ | |
Specification of the discipline(s) | 4 | |
Title of the dataset | ListDB RepOne: 3 months (Jun'22-Aug'22) of drone videos and trajectories at a 3-way intersection | |
dc.title.alternative | Dresden (Germany): Tharandter Strasse / Frankenbergstrasse | |
Research instruments | DJI Mini 2 | |
Underlying research object | Traffic observation videos of an intersection | |
Software | Data From Sky Traffic Survey | |
Software | ListDBApp (Android; self-developed) | |
Project abstract | The ListDB provides a uniform standard for collecting and describing video-based traffic observations, e.g. using drones. This project provides selected data sets, i.e. recorded videos including metadata. || (German) Publication: https://nbn-resolving.org/urn:nbn:de:bsz:14-qucosa2-833252 || ListDB Gitlab: w3id.org/listdb | |
Project title | ListDB - Leverage information on street traffic (ListDB) |
Files
Original bundle
- Name:
- 20230601_ListDB_Codebook_v2.4_public.pdf
- Size:
- 629.27 KB
- Format:
- Adobe Portable Document Format
- Description:
- ListDB Codebook specifying the metadata
- Name:
- 3W_ThaFra_Samples.zip
- Size:
- 286.46 MB
- Format:
- Description:
- Sample video (1 min) with corresponding metadata and mined trajectories
- Name:
- 3W_ThaFra_Trajectory_README.txt
- Size:
- 2 KB
- Format:
- Plain Text
- Description:
- Readme of trajectory data
- Name:
- 3W_ThaFra_Trajectory.zip
- Size:
- 843.79 MB
- Format:
- Description:
- All trajectory data
- Name:
- 3W_ThaFra_Video_README.txt
- Size:
- 1.27 KB
- Format:
- Plain Text
- Description:
- Readme of video data
- Name:
- ListDBApp_README.txt
- Size:
- 1.83 KB
- Format:
- Plain Text
- Description:
- Readme of ListDBApp
- Name:
- ListDBApp_v0.3.2.5.1_public.apk
- Size:
- 4.19 MB
- Format:
- Unknown data format
- Description:
- ListDBApp for collecting ListDB metadata
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